DBMS > SAP IQ vs. SiteWhere vs. Snowflake vs. Teradata

System Properties Comparison SAP IQ vs. SiteWhere vs. Snowflake vs. Teradata

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Editorial information provided by DB-Engines

Name

Description

Columnar RDBMS optimized for Big Data analytics

M2M integration platform for persisting/querying time series data

Cloud-based data warehousing service for structured and semi-structured data

A hybrid cloud data analytics software platform (Teradata Vantage)

Primary database model

Relational DBMS

column-oriented

Time Series DBMS

Relational DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS
Time Series DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	3.27
Rank	#96	Overall
	#50	Relational DBMS

Score	0.06
Rank	#367	Overall
	#36	Time Series DBMS

Score	123.20
Rank	#9	Overall
	#6	Relational DBMS

Score	47.84
Rank	#21	Overall
	#15	Relational DBMS

Website

www.sap.com/products/technology-platform/sybase-iq-big-data-management.html

github.com/sitewhere/sitewhere

www.snowflake.com

www.teradata.com

Technical documentation

help.sap.com/docs/SAP_IQ

sitewhere1.sitewhere.io/index.html

docs.snowflake.net/manuals/index.html

docs.teradata.com

Developer

SAP, formerly Sybase

SiteWhere

Snowflake Computing Inc.

Teradata

Initial release

1994

2010

2014

1984

Current release

16.1 SPS04, April 2019

Teradata Vantage 1.0 MU2, January 2019

License

Commercial or Open Source

commercial

Open Source

Common Public Attribution License Version 1.0

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

AIX
HP-UX
Linux
Solaris
Windows

Linux
OS X
Windows

hosted

hosted
Linux

Data scheme

yes

predefined scheme

yes

support of semi-structured data formats (JSON, XML, Avro)

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

Join-index to prejoin tables, aggregate index, sparse index, hash index

SQL

Support of SQL

yes

SQL 2016 + extensions

APIs and other access methods

ADO.NET
JDBC
ODBC
RESTful HTTP API

HTTP REST

CLI Client
JDBC
ODBC

.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB

Supported programming languages

C
C#
C++
Java
Perl
PHP
Python
Ruby

JavaScript (Node.js)
Python

C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby

Server-side scripts

Stored procedures

yes

user defined functions

yes

UDFs, stored procedures, table functions in parallel

Triggers

yes

similar concept for controling cloud resources

yes

Partitioning methods

Methods for storing different data on different nodes

shared disk or shared nothing architectures with SAP IQ Multiplexer

Sharding

based on HBase

yes

Sharding

Hashing

Replication methods

Methods for redundantly storing data on multiple nodes

SAP/Sybase Replication Server

selectable replication factor

based on HBase

yes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept

Users with fine-grained authorization concept, user roles and pluggable authentication

fine grained access rights according to SQL-standard

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